from tkinter import *
from tkinter import ttk
from PIL import Image,ImageTk
from tkinter import messagebox
from Weather_Spider import Weather_Get
from threading import Thread
import datetime
import time
import webbrowser
import base64
from io import BytesIO
"""
点击完添加城市天气就加载好天气省市信息
"""

import os, sys
loadingimg = './img/loading.png'
# iconimg = './img/icon.ico'

if '_MEIPASS2' in os.environ:
    loadingimg = os.path.join(os.path.dirname(sys.executable), loadingimg)
    # iconimg = os.path.join(os.path.dirname(sys.executable), iconimg)
# imgs=['./img/loading.png']
imgs=[loadingimg]
def setIcon(window):
    tmp = open("tmp.ico", "wb+")
    img = 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'
    tmp.write(base64.b64decode(img))  # 写入到临时文件中
    tmp.close()
    window.iconbitmap("tmp.ico")  # 设置图标
    os.remove("tmp.ico")
def getImge():
    img = b'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'
    return Image.open(BytesIO(base64.b64decode(img)))

class App:
    def __init__(self):
        self.w=Tk()
        self.w.title('天气预报小工具-v1.5')
        width=600
        height=280
        left=(self.w.winfo_screenwidth()-width)/2
        top=(self.w.winfo_screenheight()-height)/2
        self.w.geometry('%dx%d+%d+%d'%(width,height,left,top))
        # self.w.iconbitmap(iconimg)
        setIcon(self.w)
        self.w.resizable(False,False)
        self.W=Weather_Get()
        self.cerate_widgets()
        self.first_launch()
        self.set_widgets()
        self.place_widgets()
        self.thread_it(self.show_local_weather)
        self.w.mainloop()

    def cerate_widgets(self):
        self.note=ttk.Notebook()
        #f1存储当前定位所在城市天气信息
        self.f1=Frame()
        self.tree=ttk.Treeview(self.f1)
        self.l1_var=StringVar()
        self.l1=ttk.Label(self.f1,textvariable=self.l1_var)
        self.m=Menu(self.w)
        self.w['menu']=self.m
        self.s1=Menu(self.m,tearoff=False)
        self.s2=Menu(self.m,tearoff=False)
        self.s3=Menu(self.m,tearoff=False)

    def set_widgets(self):
        self.city_number_list=[]
        self.city_list=[]
        #style = ttk.Style(self.w)
        #style.theme_use("default")
        columns=('rq','tq','flfx','zdqw','zgqw')
        self.tree.config(show='headings',columns=columns)
        self.tree.column(columns[0],anchor=CENTER,minwidth=95,width=110)
        self.tree.column(columns[1],anchor=CENTER,minwidth=60,width=70)
        self.tree.column(columns[2],anchor=CENTER,minwidth=90,width=100)
        self.tree.column(columns[3],anchor=CENTER,minwidth=90,width=100)
        self.tree.column(columns[4],anchor=CENTER,minwidth=90,width=100)
        self.tree.heading('rq', text='日期')
        self.tree.heading('tq', text='天气')
        self.tree.heading('flfx', text='风向风力')
        self.tree.heading('zdqw', text='最低气温')
        self.tree.heading('zgqw', text='最高气温')
        self.m.add_cascade(label='开始',menu=self.s1)
        self.s1.add_command(label='打开中国天气网',command=lambda:webbrowser.open(self.china_weather_url))
        self.s1.add_separator()
        self.s1.add_command(label='退出',command=self.quit_window)
        self.m.add_cascade(label='操作',menu=self.s2)
        self.s2.add_command(label='刷新',command=lambda:self.thread_it(self.refresh_weather))
        self.s2.add_command(label='添加城市',command=lambda:self.thread_it(self.select_city),state='disable')
        s2_sub = Menu(self.s2, tearoff=0)
        self.s2.add_separator()
        self.s2.add_cascade(label='更换主题',menu=s2_sub)
        self.m.add_cascade(label='关于',menu=self.s3)
        self.s3.add_command(label='关于作者',command=lambda :messagebox.showinfo('关于作者','景德镇陶瓷大学 朱启恒'))
        self.tree.tag_configure('evenColor',background='lightblue')
        self.note.bind('<<NotebookTabChanged>>',self.get_note_current_tab_index)
        self.w.protocol('WM_DELETE_WINDOW',self.quit_window)
        self.w.bind('<Escape>',self.escape)
        themes=['default','clam', 'alt', 'classic']
        self.themevar=StringVar()
        for i,t in enumerate(themes):
            s2_sub.add_radiobutton(label=t,variable=self.themevar,command=lambda:self.thread_it(self.change_theme),value=t)
        #self.themevar.set('')

    def place_widgets(self):
        self.note.place(x=0,y=0,width=600,height=282)
        self.tree.place(x=0,y=0,width=600,height=150)
        self.l1.place(x=0,y=150,height=85,width=600)

    def first_launch(self):
        '''
        第一次启动，展示加载图片提示信息
        :return:
        '''
        self.start_time=time.time()
        paned = PanedWindow(self.w)
        self.img = imgs
        # img = Image.open(self.img[0])
        img = getImge()
        paned.image = ImageTk.PhotoImage(img)
        self.load_img = Label(self.w, image=paned.image)
        self.load_lab = Label(self.w, text='Loading...')
        self.load_img.pack()
        self.load_lab.pack()

    def show_local_weather(self):
        '''
        展示定位天气信息
        :return:
        '''
        self.l1_var.set('正在刷新天气......')
        items = self.tree.get_children()
        for item in items:
            self.tree.delete(item)
        try:
            city,item,number=self.W.get_local_weather()
            self.china_weather_url=f'http://www.weather.com.cn/weather/{number}.shtml'
            self.load_img.destroy()
            self.load_lab.destroy()
            self.s2.entryconfig('添加城市', state='normal')
            self.note.add(self.f1,text=city)
            i=0
            for data in item['recent']:
                self.tree.insert('', i, values=(
                data.get('日期'), data.get('天气'), data.get('风力风向'), data.get('最低气温'), data.get('最高气温')))
                i+=1
            now_time = str(datetime.datetime.now()).split('.')[0].split(' ')[-1]
            self.l1_var.set(f'今天：{self.show_date()}\n当前所在地区：{city}\n当前气温：{item["now"]}（{now_time}更新）\n感冒指数：{item["ganmao"]}')
            #将定位城市加入 已展示城市列表self.location中
            self.city_number_list.append(number)
            self.city_list.append(city)
        except TypeError:
            messagebox.showerror('错误','天气信息加载失败！')
            self.l1_var.set('天气信息加载失败！')
            self.s2.entryconfig('添加城市', state='normal')

    def get_note_current_tab_index(self,event):
        #当前切换的组件
        tab_id = self.note.select()
        print(tab_id)
        #当前notebok的所在索引
        self.current_tab_index = self.note.index(tab_id)
        #当前tab的text
        # tab_name = self.note.tab(tab_index, "text")

    def refresh_weather(self):
        """
        刷新天气后，10秒内不能点击刷新
        :return:
        """
        try:
            if self.current_tab_index==0:
                self.s2.entryconfig('刷新', state='disable')
                self.show_local_weather()
            else:
                current_city_number=self.city_number_list[self.current_tab_index]
                current_city=self.city_list[self.current_tab_index]
                exec("self.fl_{}_var.set('正在刷新天气......')".format(current_city_number))
                items = eval("self.tree_{}.get_children()".format(current_city_number))
                for item in items:
                    exec("self.tree_{}.delete(item)".format(current_city_number))
                try:
                    item= self.W.get_weather(current_city_number)
                    i = 0
                    for data in item['recent']:
                        exec("self.tree_{}.insert('', i, values=(data.get('日期'), data.get('天气'), data.get('风力风向'), data.get('最低气温'), data.get('最高气温')))".format(current_city_number))
                        i += 1
                    now_time = str(datetime.datetime.now()).split('.')[0].split(' ')[-1]
                    weather_infos = r"今天：{}\n当前所选地区：{}\n当前气温：{}（{}更新）\n感冒指数：{}".format(self.show_date(), current_city, item['now'], now_time, item['ganmao'])
                    exec("self.fl_{}_var.set('{}')".format(current_city_number, weather_infos))
                    # 将定位城市加入 已展示城市列表self.location中
                except TypeError:
                    messagebox.showerror('错误', '天气信息加载失败！')
                    self.l1_var.set('天气信息加载失败！')
                    self.s2.entryconfig('添加城市', state='normal')
        except AttributeError:
            self.show_local_weather()
        self.thread_it(self.wait_time)

    def wait_time(self):
        '''
        线程计时10s，十秒后刷新按钮可点击
        :return:
        '''
        time.sleep(10)
        self.s2.entryconfig('刷新', state='normal')

    def show_date(self):
        """
        展示日期信息，便于天气展示
        :return:
        """
        date = str(datetime.date.today())
        year,month,day=date.split('-')
        week_day_dict = {
            0: '星期一',
            1: '星期二',
            2: '星期三',
            3: '星期四',
            4: '星期五',
            5: '星期六',
            6: '星期日 ',
        }
        now=datetime.datetime.now()
        date_index = now.weekday()
        date_time=f'{year}年{month}月{day}日 {week_day_dict[date_index]}'
        return date_time

    def select_city(self):
        '''
        Toplevel让用户选择城市，后台获取城市号
        :return:
        '''
        self.t=Toplevel()
        self.t.resizable(0,0)
        width=300
        height=140
        left=(self.t.winfo_screenwidth()-width)/2
        top=(self.t.winfo_screenheight()-height)/2
        self.t.geometry('%dx%d+%d+%d'%(width,height,left,top))
        self.t.title('选择城市')
        self.tl1=ttk.Label(self.t,text='请选择城市：')
        self.tl1.pack()
        provinces=self.W.get_provinces()
        self.tc1=ttk.Combobox(self.t,justify='center',state='readonly',value=provinces)
        self.tc2=ttk.Combobox(self.t,justify='center',state='readonly')
        self.tc1.pack()
        self.tc1.bind('<<ComboboxSelected>>',self.show_tc2_value)
        self.tc2.bind('<<ComboboxSelected>>',self.show_tc3_value)
        self.tc2.pack()
        self.tc3=ttk.Combobox(self.t,justify='center',state='readonly')
        self.tc3.pack()
        self.tb1=ttk.Button(self.t,text='确定',command=lambda :self.thread_it(self.ack_city))
        self.t.bind('<Return>',lambda event:self.ack_city)
        self.tb1.pack(pady=10)

    def ack_city(self):
        '''
        Toplevel中选择了城市，选择使用notebook中建立Frame展示所选城市信息
        :return:
        '''
        cityno=self.get_city_no()
        weather_item=self.W.get_weather(cityno)
        location=self.province_name+self.city_name+self.region
        if location in self.city_list:
            messagebox.showwarning('警告','此城市已添加，请勿重复添加！')
        else:
            self.city_number_list.append(cityno)
            self.city_list.append(location)
            exec("self.f_{}= Frame(takefocus=True)".format(cityno))
            exec("self.note.add(self.f_{}, text=location)".format(cityno))
            exec("self.tree_{} = ttk.Treeview(self.f_{})".format(cityno,cityno))
            columns = ('rq', 'tq', 'flfx', 'zdqw', 'zgqw')
            exec("self.tree_{}.config(show='headings', columns=columns)".format(cityno))
            exec("self.tree_{}.column(columns[0], anchor=CENTER, minwidth=95, width=110)".format(cityno))
            exec("self.tree_{}.column(columns[1], anchor=CENTER, minwidth=60, width=70)".format(cityno))
            exec("self.tree_{}.column(columns[2], anchor=CENTER, minwidth=90, width=100)".format(cityno))
            exec("self.tree_{}.column(columns[3], anchor=CENTER, minwidth=90, width=100)".format(cityno))
            exec("self.tree_{}.column(columns[4], anchor=CENTER, minwidth=90, width=100)".format(cityno))
            exec("self.tree_{}.heading('rq', text='日期')".format(cityno))
            exec("self.tree_{}.heading('tq', text='天气')".format(cityno))
            exec("self.tree_{}.heading('flfx', text='风向风力')".format(cityno))
            exec("self.tree_{}.heading('zdqw', text='最低气温')".format(cityno))
            exec("self.tree_{}.heading('zgqw', text='最高气温')".format(cityno))
            exec("self.tree_{}.place(x=0,y=0,width=600,height=150)".format(cityno))
            exec("self.fl_{}_var=StringVar()".format(cityno))
            exec("self.fl_{}=ttk.Label(self.f_{},textvariable=self.fl_{}_var)".format(cityno,cityno,cityno))
            exec("self.fl_{}.place(x=0,y=150,height=85,width=600)".format(cityno))
            items = eval("self.tree_{}.get_children()".format(cityno))
            for item in items:
                exec("self.tree_{}.delete(item)".format(cityno))
            try:
                item = weather_item
                city=location
                i = 0
                for data in item['recent']:
                    exec("self.tree_{}.insert('', i, values=(data.get('日期'), data.get('天气'), data.get('风力风向'), data.get('最低气温'), data.get('最高气温')))".format(cityno))
                    i += 1
                now_time = str(datetime.datetime.now()).split('.')[0].split(' ')[-1]
                #使用exec()不能加入转义字符，否则会报SyntaxError: EOL while scanning string literal错误！
                weather_infos=r"今天：{}\n当前所选地区：{}\n当前气温：{}（{}更新）\n感冒指数：{}".format(self.show_date(),city,item['now'],now_time,item['ganmao'])
                exec("self.fl_{}_var.set('{}')".format(cityno,weather_infos))
                self.china_weather_url = f'http://www.weather.com.cn/weather/{cityno}.shtml'
                self.note.select(f".!frame{len(self.city_list)}")#将焦点切换到最新添加
            except TypeError:
                messagebox.showerror('错误','天气信息加载失败！')
                exec("self.fl_{}_var.set('{}天气信息加载失败！')".format(cityno,location))
        self.t.destroy()

    def show_tc2_value(self,event):
        '''
        展示"市"级信息
        :param event:
        :return:
        '''
        self.tc2.config(value=[])
        self.tc3.config(value=[])
        self.province_name=self.tc1.get()
        cities=self.W.get_cities(self.province_name)
        self.tc2.config(value=cities)

    def show_tc3_value(self,event):
        '''
        展示"区/县"级信息
        :param event:
        :return:
        '''
        self.city_name=self.tc2.get()
        regions=self.W.get_regions(self.province_name,self.city_name)
        self.tc3.config(value=regions)

    def get_city_no(self):
        """
        根据省、市、区、县 获取城市号
        :return: 城市号
        """
        self.region=self.tc3.get()
        try:
            if self.city_name=='':
                messagebox.showwarning('警告','请选择城市')
            else:
                city_no=self.W.get_city_id_by_add(self.province_name,self.city_name,self.region)
                return city_no
        except  AttributeError :
            messagebox.showwarning('警告', '请选择城市')

    def change_theme(self,):
        '''
        更换主题
        :return:
        '''
        theme=self.themevar.get()
        style = ttk.Style(self.w)
        style.theme_use(theme)

    def escape(self,event):
        self.quit_window()

    def quit_window(self):
        ret=messagebox.askyesno('退出','是否要退出？')
        if ret:
            self.w.destroy()

    def thread_it(self,func,*args):
        '''
        防止线程冲突
        :param func:
        :param args:
        :return:
        '''
        t=Thread(target=func,args=args)
        t.setDaemon(True)
        t.start()

if __name__ == '__main__':
    a=App()